Senior Java Developer – AI | Java + React.

Accountabilities:

• • Develop and evolve applications using Java for backend services and React for frontend development.
  • Build and integrate microservices, REST APIs, BFFs, and integrations with external systems.
  • Use and orchestrate AI agents across specification, development, testing, and deployment stages.
  • Review, validate, and improve code and other artifacts generated by AI agents, ensuring quality, security, performance, and compliance with technical standards.
  • Participate in technical refinement sessions, contributing to solution design, estimates, and identification of technical risks.
  • Implement and maintain automated testing, including unit, integration, regression, and performance tests.
  • Investigate and resolve complex technical issues involving code, integrations, data, or development environments.
  • Develop AI-powered automations that improve productivity, quality, and efficiency throughout the software development lifecycle.
  • Collaborate with technical leadership to evolve engineering practices and the organization's Agentic SDLC approach.

  Requirements:

  • Strong professional experience in backend development using Java and microservices architectures.
  • Solid frontend development experience with React and JavaScript or TypeScript.
  • Experience designing and integrating REST APIs, BFFs, distributed systems, and external integrations.
  • Experience with AWS and developing applications in cloud environments.
  • Strong knowledge of automated testing, including unit and integration testing.
  • Experience with Git, CI/CD, and continuous delivery practices.
  • Practical experience using Generative AI and AI agents in software development.
  • Hands-on experience with AI coding tools such as Claude Code, GitHub Copilot, Cursor, CI&T Flow, or similar solutions.
  • Knowledge of prompt engineering applied to code generation, testing, analysis, and documentation.
  • Ability to critically evaluate AI-generated outputs and identify architectural, security, performance, and quality issues.
  • Strong autonomy when investigating and solving complex technical problems.
  • Good communication skills and the ability to collaborate with and influence technical decisions.
  • Technical English proficiency for documentation and interaction with AI tools and agents.
  • Experience with Agentic SDLC and orchestrating AI agents across different development stages is a plus.
  • Experience in financial services, particularly transactional systems, payments, or acquiring platforms, is a plus.
  • Experience with event-driven architectures and API Gateway is a plus.
  • Experience modernizing legacy systems and migrating workloads to the cloud is a plus.
  • Knowledge of application security, secure development practices, and vulnerability analysis is a plus.

  Benefits:

  • Opportunity to work on strategic software development initiatives within the financial services sector.
  • Hands-on exposure to Generative AI, AI agents, and Agentic SDLC practices.
  • Opportunity to work across Java, React, AWS, microservices, APIs, and distributed cloud architectures.
  • Exposure to modern AI coding and development automation tools.
  • Opportunity to contribute to the evolution of engineering practices and AI-assisted software development.
  • Collaborative environment with technical leadership and opportunities to influence architectural and development decisions.